General course scheduling application

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dc.contributor.authorKufuor, Jr, Ernest
dc.date.accessioned2017-11-15T10:48:54Z
dc.date.available2017-11-15T10:48:54Z
dc.date.issued2017-04
dc.descriptionApplied project submitted to the Department of Computer Science, Ashesi University College, in partial fulfillment of Bachelor of Science degree in Computer Science, April 2017en_US
dc.description.abstractHeuristic algorithms have been known to be the most common and effective methods to solving the classical course scheduling problem which has been found to be a non deterministic polynomial time hard problem. Many software systems have been built on these algorithms to provide a standard and working solution. This paper seeks to look at the gaps of these solutions and propose a newer one which would potentially simplify the process of course scheduling and provide an even more effective solution within the scope of Ghana. This paper provides a course scheduling web application which implements a genetic algorithm as a solution.en_US
dc.description.sponsorshipAshesi University Collegeen_US
dc.identifier.urihttp://hdl.handle.net/20.500.11988/298
dc.language.isoen_USen_US
dc.subjectcourse schedulingen_US
dc.subjectalgorithmen_US
dc.subjectweb-based applicationen_US
dc.subjectGhanaen_US
dc.subjectAshesi University Collegeen_US
dc.titleGeneral course scheduling applicationen_US
dc.typeApplied projecten_US

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